Evidence map›Paper›PMID 36511943›Full record

ArticleTexas Heart Institute journal2022

Coronary Computed Tomography Angiography for Evaluation of Chest Pain in the Emergency Department.

Suraj Dahal, Matthew J Budoff, Sion K Roy

Open access · diamondAbstract read
In one paragraph

Article in Texas Heart Institute journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Utility of Cardiovascular CT in Ischemic Heart Disease.Echocardiography (Mount Kisco, N.Y.) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Suraj DahalDepartment of Cardiology, Virginia Commonwealth University, Richmond, Virginia.
Matthew J BudoffDepartment of Cardiology, Harbor-UCLA Medical Center, Torrance, California.
Sion K RoyDepartment of Cardiology, Harbor-UCLA Medical Center, Torrance, California.
Harbor–UCLA Medical Center · USUCLA Medical Center · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary computed tomography angiography has emerged as an important diagnostic modality for evaluation of acute chest pain in the emergency department for patients at low to intermediate risk for acute coronary syndromes. Several clinical trials have shown excellent negative predictive value of coronary computed tomography angiography to detect obstructive coronary artery disease. Cardiac biomarkers such as troponins and creatine kinase MB, along with history, electrocardiogram, age, risk factors, troponin score, and Thrombolysis in Myocardial Infarction score should be used in conjunction with coronary computed tomography angiography for safe and rapid discharge of patients from the emergency department. Coronary computed tomography angiography along with high-sensitivity troponin assays could be effective for rapid evaluation of acute chest pain in the emergency department, but high-sensitivity troponins are not always available. Emergency department physicians are not quite comfortable making clinical decisions, especially if the coronary stenosis is in the range of 50% to 70%. In these cases, further evaluation with functional testing, such as nuclear stress testing or stress echocardiogram, is a common approach in many centers; however, newer methods such as fractional flow reserve computed tomography could be safely incorporated in coronary computed tomography angiography to help with clinical decision-making in these scenarios.

Indexed as

Acute Coronary SyndromeFractional Flow Reserve, MyocardialChest PainComputed Tomography AngiographyCoronary AngiographyEmergency Service, HospitalHumansTroponinTroponinacute coronary syndromesChest paincomputed tomographyemergency departmentmyocardial perfusion imagingstress test

Identifiers

PMID36511943
PMCPMC9809099
OpenAlexW4311243976

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.